Conduct full-time and part-time teaching in areas related to Data Analytics, Artificial Intelligence (AI), Machine Learning, Data Engineering, Data Management, and foundational ICT modules.
Partner with business stakeholders, AI, Data, and Technology teams to understand business challenges, perform analytical problem solving, evaluate technical feasibility, and support AI solution design and delivery
AI/ML Leadership: Lead the Customer Engagement Analytics team and drive end-to-end AI/ML adoption, from model development and deployment to monitoring, optimization and governance.
Own the end-to-end delivery of Assurance AI features, from requirements and solution design through development, testing, release, and production support
Develop and execute a sales strategy to accelerate the adoption of Mastercard's Advanced Analytics solutions across Retail & Commerce clients throughout Asia Pacific.
Degree / Masters / PhD in Economics and other quantitative disciplines such as Statistics, Applied Mathematics, Computer Science, Data Analytics, Engineering, or related disciplines.
Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.
Participate in audit planning to understand audit objectives, identify data requirements and design meaningful data analytics for audit execution and continuous auditing.
Design, develop, and maintain interactive dashboards and reports for business users and senior management, implementing AI where appropriate to create next-gen dashboards powered by AI
Digital Transformation Initiatives: support AI, Digital and Data (ADD) initiatives aimed at improving efficiency, enhancing processes, and delivering value-added outcomes
Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks/ Fabric. The ideal candidate will have a deep understanding of big data technologies, data engineering, and cloud computing, with a strong focus on Azure Databricks along with Strong SQL.